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<table width="100%" summary="page for Tuna"><tr><td>Tuna</td><td align="right">R Documentation</td></tr></table>

<h2>Choice of Brand for Tuna </h2>

<h3>Description</h3>


<p>a cross-section
</p>
<p><EM>number of observations</EM> :  13705
</p>
<p><EM>observation</EM> :  individuals
</p>
<p><EM>country</EM> :  United States
</p>


<h3>Usage</h3>

<pre>data(Tuna)</pre>


<h3>Format</h3>

<p>A dataframe containing :
</p>

<dl>
<dt>hid</dt><dd><p>individuals identifiers</p>
</dd>
<dt>id</dt><dd><p>purchase identifiers</p>
</dd>
<dt>choice</dt><dd><p>one of skw (Starkist water), cosw (Chicken of the sea water), pw (store&ndash;specific private label water), sko (Starkist oil), coso (Chicken of the sea oil)</p>
</dd>
<dt>price.z</dt><dd><p>price of brand z</p>
</dd>
</dl>



<h3>Source</h3>


<p>Kim, Byong&ndash;Do,  Robert C.   Blattberg and  Peter E.  Rossi (1995) &ldquo;Modeling the distribution of price sensitivity and implications for optimal retail pricing&rdquo;, <EM>Journal of Business Economics and Statistics</EM>, <B>13(3)</B>, 291.
</p>


<h3>References</h3>


<p>Journal of Business Economics and Statistics web site : <a href="http://www.amstat.org/publications/jbes/">http://www.amstat.org/publications/jbes/</a>.
</p>


<h3>See Also</h3>

<p><code>Index.Source</code>, <code>Index.Economics</code>, <code>Index.Econometrics</code>, <code>Index.Observations</code></p>


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